Department of Medical Sciences, Clinical Pharmacology, Uppsala University, Uppsala University Hospital, entrance 61, SE-751 85 Uppsala, Sweden.
Pharmacogenomics. 2012 Mar;13(4):429-40. doi: 10.2217/pgs.11.184.
Prediction models are the key to individualized drug therapy. Warfarin is a typical example of where pharmacogenetics could help the individual patient by modeling the dose, based on clinical factors and genetic variation in CYP2C9 and VKORC1. Clinical studies aiming to show whether pharmacogenetic warfarin dose predictions are superior to conventional initiation of warfarin are now underway. This review provides a broad view over the field of warfarin pharmacogenetics from basic knowledge about the drug, how it is monitored, factors affecting dose requirement, prediction models in general and different types of prediction models for warfarin dosing.
预测模型是个体化药物治疗的关键。华法林就是一个典型的例子，通过基于临床因素和 CYP2C9 和 VKORC1 基因变异的模型，可以帮助个体患者确定剂量。目前正在进行旨在表明华法林遗传药理学剂量预测是否优于传统华法林起始的临床研究。本综述从药物的基础知识、监测方法、影响剂量需求的因素、一般预测模型以及华法林剂量预测的不同类型模型等方面，对华法林药物遗传学领域进行了广泛的综述。
